Species Reactivity
Universal
Intended Use
This product can qualitatively and quantitatively detect fumonisin B1 residues in corn.
Contents of Kit
1. 96-well microplate × 1 (coated with conjugated antigen)
2. Standards × 6 vials: (1 mL/vial) (1 μg/L = 1 ppb = 1 μg/kg) 0 ppb, 0.5 ppb, 1.5 ppb, 4.5 ppb, 13.5 ppb, 40.5 ppb
3. Antibody working solution: 10 mL, green cap
4. Enzyme-labeled secondary antibody concentrate: 1 mL, red cap
5. Substrate Solution A: 7 mL, white cap
6. Substrate Solution B: 7 mL, red cap
7. Stop Solution: 7 mL, yellow cap
8. 20× concentrated wash solution: 40 mL, transparent cap
9. 2× concentrated reconstitution solution: 50 mL, blue cap
Storage
Storage conditions: store at 2–8°C.
Shelf life: 12 months.
Performance Characteristics
Accuracy:
Raw materials, finished feed: 90% ± 20%
Precision
The intra-assay and inter-assay coefficients of variation of the kit are both less than 10%
Sensitivity
Sensitivity: 0.5 ppb
Minimum detection limit of samples:
Raw materials, finished feed: 25 ppb
General Description
Fumonisin (FB) is a mycotoxin and a water-soluble metabolite produced by Fusarium moniliforme. It is a class of structurally similar diester compounds composed of different polyhydric alcohols and tricarballylic acid.
Reports indicate that fumonisin is not only a tumor promoter but also a carcinogen to humans and animals. Animal tests and epidemiological data have shown that fumonisin mainly damages liver and kidney function, can cause equine leukoencephalomalacia and porcine pulmonary edema, and is associated with the high incidence of esophageal cancer in some areas of China and South Africa. It has now attracted widespread attention worldwide. Fumonisin contamination mainly affects corn and corn products; in addition, it can also occur in rice, sorghum, millet, milk, beer, etc.
This kit is a new-generation drug residue detection product developed using ELISA technology. Compared with instrumental analysis techniques, it is rapid, simple, accurate, and highly sensitive. The operation time is only 30 minutes, which can minimize operational errors and workload.
Citations
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